Advances in Fault Detection and Diagnosis Using Filtering Analysis

Wang, Ziyun/ Wang, Yan/ Ji, Zhicheng

Springer Verlag, Singapore（2022/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 176 p.
• 言語 ENG
• 商品コード 9789811659614

Full Description

The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.

Contents

Introduction.- Design of state space based fault diagnosis filter.- Design of ellipsoid set-membership based fault detection filtering.- Design of polyhedron set-membership based fault detection filter.- Design of interval set-membership based fault detection filter.- Design of orthotopic set-membership based fault diagnosis filter.- Fault diagnosis method based on composite set-membership filter.- Summary.